Model Context Protocol (MCP) server to read a single pdf document
Overview
What is MCP Enabled PDF Reader?
MCP Enabled PDF Reader is a tool that utilizes the Model Context Protocol (MCP) server to read a single PDF document, allowing users to extract and interact with the content of PDF files.
How to use MCP Enabled PDF Reader?
To use the MCP Enabled PDF Reader, you need to install Claude Desktop or another MCP-enabled AI tool, set up Python, and configure the tool according to the provided instructions. Once set up, you can read PDF documents through the MCP server.
Key features of MCP Enabled PDF Reader?
- Ability to read any PDF document without a maximum size limit (token limit applies)
- Integration with MCP-enabled AI tools like Claude Desktop
- Simple installation and configuration process
Use cases of MCP Enabled PDF Reader?
- Reading and extracting information from academic papers in PDF format.
- Analyzing legal documents and contracts stored as PDFs.
- Assisting researchers in accessing and processing large volumes of PDF data.
FAQ from MCP Enabled PDF Reader?
- What is the maximum size of the PDF that can be read?
There is no maximum size for the PDF file, but the number of tokens passed to the model will limit the reading capacity.
- Is there a specific operating system required?
The tool can be installed on both Windows and macOS systems.
- Can I contribute to the project?
Yes! Contributions are welcome, and you can submit issues and pull requests through the repository.